Calm Waters AI utilizes natural language processing and proprietary algorithms to automate evaluation and management (E/M) coding by accurately interpreting medical records in seconds. This technology addresses the inefficiencies and inaccuracies of manual coding, resulting in faster reimbursements and reduced compliance risks for healthcare providers.
Funding
$1.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Manual evaluation and management (E/M) coding of medical records is inefficient, prone to errors, and can lead to delayed reimbursements and increased compliance risks for healthcare providers. The complexity of coding guidelines and the need to interpret unstructured data within medical records contribute to these challenges.
Solution
Calm Waters AI automates E/M coding by using natural language processing (NLP) and proprietary algorithms to analyze medical records and accurately determine the appropriate E/M code. The AI-driven technology interprets both structured and unstructured data, translating it into a compliant E/M level based on current guidelines. By streamlining the coding process, Calm Waters AI helps providers accelerate reimbursements, reduce the risk of audits, and improve overall coding accuracy. The platform integrates directly into existing EHR workflows, minimizing disruption and maximizing efficiency.
Target Audience
The primary target audience includes healthcare providers, financial professionals, and operational teams within hospitals, clinics, and physician practices who are responsible for accurate and efficient medical coding and billing.
Features
- AI-powered E/M coding recommendations based on NLP analysis of medical records
- Seamless integration with leading EHR systems, including Epic and athenahealth
- Customizable to match regional Medicare Administrative Contractor (MAC) guidelines
- Real-time E/M score sheets and coding rationales in a CMS audit form
- Batch coding capabilities for efficient processing of large volumes of records
- Automatic updates to ensure compliance with the latest coding rules